| Close | |
|---|---|
| Annualized Return | 0.0125 |
| Annualized Std Dev | 0.0839 |
| Annualized Sharpe (Rf=0%) | 0.1483 |
| Close | |
|---|---|
| Observations | 4694.0000 |
| NAs | 1.0000 |
| Minimum | -0.0911 |
| Quartile 1 | -0.0021 |
| Median | 0.0003 |
| Arithmetic Mean | 0.0001 |
| Geometric Mean | 0.0000 |
| Quartile 3 | 0.0024 |
| Maximum | 0.0977 |
| SE Mean | 0.0001 |
| LCL Mean (0.95) | -0.0001 |
| UCL Mean (0.95) | 0.0002 |
| Variance | 0.0000 |
| Stdev | 0.0053 |
| Skewness | 0.0265 |
| Kurtosis | 71.8383 |
| Close | |
|---|---|
| Semi Deviation | 0.0038 |
| Gain Deviation | 0.0040 |
| Loss Deviation | 0.0045 |
| Downside Deviation (MAR=210%) | 0.0096 |
| Downside Deviation (Rf=0%) | 0.0038 |
| Downside Deviation (0%) | 0.0038 |
| Maximum Drawdown | 0.3046 |
| Historical VaR (95%) | -0.0067 |
| Historical ES (95%) | -0.0113 |
| Modified VaR (95%) | -0.0009 |
| Modified ES (95%) | -0.0009 |
| From | Trough | To | Depth | Length | To Trough | Recovery |
|---|---|---|---|---|---|---|
| 2003-06-16 | 2008-10-10 | 2012-02-28 | -0.3046 | 2193 | 1342 | 851 |
| 2020-03-09 | 2020-03-19 | 2020-06-30 | -0.2176 | 80 | 9 | 71 |
| 2016-07-11 | 2018-11-20 | 2019-07-02 | -0.1049 | 750 | 598 | 152 |
| 2012-10-16 | 2013-09-10 | 2015-01-28 | -0.0996 | 573 | 225 | 348 |
| 2015-02-02 | 2016-02-17 | 2016-07-08 | -0.0885 | 362 | 263 | 99 |
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Close | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002 | NA | NA | NA | NA | NA | NA | 1 | 0.1 | -0.5 | -1.2 | 0 | -0.3 | -0.9 |
| 2003 | 0.3 | 0 | -0.1 | -0.2 | 0 | -1.1 | -0.4 | 0 | -0.4 | 0 | -0.6 | -0.2 | -2.6 |
| 2004 | 0.2 | -0.4 | -0.4 | 0 | -0.9 | 0.1 | 0.7 | -0.6 | -0.8 | -0.8 | -0.4 | -0.4 | -3.7 |
| 2005 | -0.4 | -0.4 | -0.3 | -0.4 | 0.3 | -0.8 | -0.6 | -0.7 | -0.3 | -0.4 | -0.6 | -0.1 | -4.7 |
| 2006 | -0.4 | -0.8 | -0.2 | -0.9 | -0.2 | 0.6 | -0.3 | -0.6 | 0 | -0.1 | -0.3 | 0 | -3.4 |
| 2007 | -0.5 | -0.4 | 0 | -0.5 | -0.8 | 0.6 | -0.2 | 0.5 | -1.1 | 0.3 | 0.5 | 0.2 | -1.5 |
| 2008 | 0 | 0.6 | -0.6 | 0.2 | 0.4 | -0.5 | -0.8 | -0.2 | 0.5 | -0.4 | 1.1 | 0.2 | 0.3 |
| 2009 | 0.7 | -0.7 | -0.7 | -0.2 | -0.5 | -0.6 | 1.3 | -1 | -1.5 | 0.9 | -0.9 | -0.1 | -3.3 |
| 2010 | -0.9 | -0.3 | -0.2 | 0.4 | -0.5 | -0.3 | 0.5 | -1.1 | -0.9 | -0.4 | -0.6 | 0.2 | -4 |
| 2011 | -0.5 | -0.4 | 0.1 | 0.2 | 0.1 | -0.4 | -0.1 | -0.3 | 0.5 | 0.1 | -0.1 | 0.4 | -0.3 |
| 2012 | 0.1 | -0.6 | -0.2 | -0.5 | 0.3 | 0 | -0.4 | 0.7 | 0 | -0.4 | 0 | -0.5 | -1.8 |
| 2013 | -0.6 | -0.1 | -0.5 | 0.1 | -0.5 | -0.1 | -1.1 | 0 | -0.4 | -0.6 | -0.1 | -0.3 | -3.9 |
| 2014 | 0.3 | -0.1 | -0.5 | 0.1 | 0 | -0.7 | 0.2 | 0.1 | 0.3 | 0 | -0.6 | 0.1 | -0.8 |
| 2015 | 0.8 | 0.2 | 0 | -0.8 | -0.8 | -0.6 | 0.5 | 0.3 | -0.3 | 0.3 | 0.5 | 0.2 | 0.2 |
| 2016 | -0.6 | -0.8 | 0 | 0.1 | -0.2 | 0.3 | -0.8 | -0.3 | -0.2 | -0.4 | -0.8 | 0.2 | -3.5 |
| 2017 | -0.4 | -0.9 | 0.1 | -0.6 | -0.2 | -0.1 | 0.1 | -0.7 | 0.1 | -0.1 | 0 | 0.1 | -2.4 |
| 2018 | -0.7 | -0.4 | 0.5 | -0.6 | -0.5 | 0.1 | -0.6 | -0.1 | -0.4 | 0 | -0.1 | 0.3 | -2.7 |
| 2019 | -0.5 | -0.5 | -0.7 | -0.3 | 0.2 | -0.1 | 0.5 | 0 | -0.1 | -0.2 | -0.2 | -0.4 | -2.3 |
| 2020 | 0.3 | 1.1 | -1.7 | -0.6 | -0.3 | 0.2 | 0.1 | 0.4 | 0.1 | -0.5 | -0.6 | 0 | -1.6 |
| 2021 | 0 | -0.1 | 0.1 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 0 |
# tidytable [6 × 21]
datadate Close tic.x spy ret.x ret_1W.x ret_1M.x ret_3M.x ret_1Y.x ret_3Y.x ret_5Y.x tic.y gld ret.y ret_1W.y
<date> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <dbl>
1 2002-07-26 102. SPY 85.6 0.019 0.0105 -0.124 -0.203 -0.294 -0.371 NA <NA> NA NA NA
2 2002-07-29 101. SPY 89.8 0.0487 0.0921 -0.0972 -0.160 -0.245 -0.339 NA <NA> NA NA NA
3 2002-07-30 101. SPY 90.9 0.013 0.138 -0.081 -0.157 -0.228 -0.325 NA <NA> NA NA NA
4 2002-07-31 102. SPY 91.2 0.00240 0.076 -0.0605 -0.165 -0.235 -0.329 NA <NA> NA NA NA
5 2002-08-01 103. SPY 88.8 -0.0261 0.0569 -0.0652 -0.184 -0.262 -0.349 NA <NA> NA NA NA
6 2002-08-02 103. SPY 86.8 -0.0224 0.0139 -0.0913 -0.193 -0.282 -0.354 NA <NA> NA NA NA
# … with 6 more variables: ret_1M.y <dbl>, ret_3M.y <dbl>, ret_1Y.y <dbl>, ret_3Y.y <dbl>, ret_5Y.y <dbl>, rel <dbl>